Automobile Production Data Security And Workflow Optimization Using Blockchain-based Secure Multi-stage Architecture

Abstract

The Rapid Advancement Of Automobile Manufacturing Technologies Has Increased The Need For Secure, Efficient, And Transparent Production Workflows. Traditional Manufacturing Systems Rely Heavily On Fragmented Data Handling And Manual Verification Processes, Which Often Lead To Data Inconsistencies, Operational Delays, And Reduced Production Efficiency. This Paper Presents A Blockchain-Based Automobile Production Data Security And Workflow Optimization Framework Designed To Provide Secure Multi-stage Workflow Management Across Automobile Production Environments. The Proposed System Integrates Blockchain Technology, AES Encryption, Automated Validation Mechanisms, And Rolebased Access Control To Ensure Secure Data Management Throughout Design Review, Component Validation, Quality Control, Testing, And Report Generation Stages. The Framework Enables Real-time Validation Of Seating Configurations, Fuel Or Battery Capacities, And Component Specifications While Maintaining Transparency And Traceability. The System Is Implemented Using Java, Servlets, JSP, MySQL, And Blockchain-supported Secure Workflow Mechanisms. Experimental Evaluation Demonstrates Improved Workflow Efficiency, Enhanced Data Integrity, Secure Access Management, And Reduced Operational Errors. The Modular Architecture Supports Future Extensions Including AI-driven Analytics, Cloud Deployment, And Smart Manufacturing Integration.

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